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SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
13 years 11 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
DMIN
2006
107views Data Mining» more  DMIN 2006»
13 years 11 months ago
Enhancing Data Preparation Processes Using Triggers For Active Datawarehousing
Abstract: Data preparation is a significant preprocessing task to prepare data for mining. The data mining process cannot succeed without a serious effort to prepare data. Very oft...
Kanana Ezekiel, Farhi Marir
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
PVLDB
2010
146views more  PVLDB 2010»
13 years 4 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
13 years 27 days ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang